TY - GEN
T1 - Emotion Synchronization Method for Robot Facial Expression
AU - Kajihara, Yushun
AU - Sripian, Peeraya
AU - Feng, Chen
AU - Sugaya, Midori
N1 - Publisher Copyright:
© 2020, Springer Nature Switzerland AG.
PY - 2020
Y1 - 2020
N2 - Nowadays, communication robots are becoming popular since they are actively used in both commercially and personally. Increasing empathy between human-robot can effectively enhance the positive impression. Empathy can be created by syncing human emotion with the robot expression. Emotion estimation can be done by analyzing controllable expressions like facial expression, or uncontrollable expression like biological signals. In this work, we propose the comparison of robot expression synchronization with estimated emotion based on either facial expression or biological signal. In order to find out which of the proposed methods yield the best impression, subjective impression rating is used in the experiment. From the result of the impression evaluation, we found that the robot’s facial expression synchronization using the synchronization based on periodical emotion value performs the best and best suitable for emotion estimated both from facial expression and biological signal.
AB - Nowadays, communication robots are becoming popular since they are actively used in both commercially and personally. Increasing empathy between human-robot can effectively enhance the positive impression. Empathy can be created by syncing human emotion with the robot expression. Emotion estimation can be done by analyzing controllable expressions like facial expression, or uncontrollable expression like biological signals. In this work, we propose the comparison of robot expression synchronization with estimated emotion based on either facial expression or biological signal. In order to find out which of the proposed methods yield the best impression, subjective impression rating is used in the experiment. From the result of the impression evaluation, we found that the robot’s facial expression synchronization using the synchronization based on periodical emotion value performs the best and best suitable for emotion estimated both from facial expression and biological signal.
KW - Emotion estimation
KW - Empathy
KW - Robot facial expression
UR - http://www.scopus.com/inward/record.url?scp=85088746132&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85088746132&partnerID=8YFLogxK
U2 - 10.1007/978-3-030-49062-1_44
DO - 10.1007/978-3-030-49062-1_44
M3 - Conference contribution
AN - SCOPUS:85088746132
SN - 9783030490614
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 644
EP - 653
BT - Human-Computer Interaction. Multimodal and Natural Interaction - Thematic Area, HCI 2020, Held as Part of the 22nd International Conference, HCII 2020, Proceedings
A2 - Kurosu, Masaaki
PB - Springer
T2 - Thematic Area on Human Computer Interaction, HCI 2020, held as part of the 22nd International Conference on Human-Computer Interaction, HCII 2020
Y2 - 19 July 2020 through 24 July 2020
ER -